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Study: EU-SILC 2015

Titles

Title European Union Statistics on Income and Living Conditions 2015

Abstract

EU-SILC 2015 contains the 2015 module on social and cultural participation and material deprivation.

Coverage

Geographical Coverage

EU-28 member states and Iceland, Turkey, Norway and Switzerland. Test implementation: Montenegro, the former Yugoslav Republic of Macedonia (FYROM) and Serbia. (Eurostat: METHODOLOGICAL GUIDELINES AND DESCRIPTION OF EU-SILC TARGET VARIABLES. 2015 operation (Version August 2016), p. 17).

Time Period Covered

Reference period for core variables: current, constant, at selection, income reference period, usual week, last 4 weeks, last 12 months, since last year, working life, childcare reference period.

Notes

-

References

Country Specific Information: EU-SILC 2015

  • LV - Latvia

    National Reference

    Producer

    Central Statistical Bureau of Latvia

    Universe

    Persons living in private households within national territory

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 113

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    "The stratification was made depending on the type of municipality (Riga, cities, towns, rural areas). The Classification of Administrative Territories and Territorial Units (CATTU) of Latvia was used for stratification." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, p. 5.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2015

    End Date

    07-2015

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 65.1 % CAPI
    • 32.3 % CATI
    • 2.6 % PAPI

    Percentage Of Proxy Interviews

    21.4 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "Base weights were corrected by non-response in the primary sampling units. The 2012, 2013 and 2014 data were adjusted for returnees. New household members with RB110 = 3 (moved into from outside sample) and former household members with RB110 = 5, 6 or 7 (moved out, died, not registered in the previous wave and did not live in household anymore) had RB060 = 0. The newly born (household members with RB110 = 4) received the weight of their mother. For each year, each rotational group with adjusted design weights was calibrated on the corresponding year’s population." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, Annex 7, p. 1.)

    Coverage Adjustment Weight: Method

    "For each year, each rotational group with adjusted design weights was calibrated on the corresponding year’s population. Weights were calibrated (in the household level) on the basis of demographic data by breaking them down by the type of municipality (Riga, cities, towns, rural areas), 16 age groups, sex and 6 regions of Latvia (NUTS 3). GREG calibration was used." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, Annex 7, p. 2.)

    Notes

    -

    References

  • LU - Luxembourg

    National Reference

    Producer

    STATEC, Institut national de la statistique et des études économiques du Grand-Duché du Luxembourg;
    LISER, Luxembourg Institute of Socio-Economic Research, formerly CEPS/INSTEAD, Centre d'Etudes de Populations, de Pauvreté et de Politiques Socio-économiques

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 3 474

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    • Probability
    • random
    • stratified

    Sampling Method

    Luxembourg uses a pure panel with a new sample each year.

    Panel Design

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    22 %

    Weighting

    Notes

    -

    References

  • LT - Lithuania

    National Reference

    Producer

    Statistics Lithuania

    Universe

    "The target population of EU-SILC is all persons living in private households within the national territory of Lithuania at the time of data collection. Collective households and institutions
    are excluded from the target population."

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 849

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Residents’ Register.

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Stratification Criteria

    While selecting the new rotational group of the sample the country were grouped into 25 strata: 5 largest cities, other cities and rural area. Simple random sample of non–institutional persons aged 16 and over was selected from the Population Register in each stratum.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2015

    End Date

    07-2015

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 11.4 % CAPI
    • 46.7 % CATI
    • 39.4 % PAPI
    • 0.6 % Self-administered
    • 1.9 % Websurvey

    Percentage Of Proxy Interviews

    25.1 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    To estimate household response probability logistic regression model are used. Response bias is estimated for responding and non-responding households.

    Coverage Adjustment Weight: Method

    Modified design weights are calibrated, seeking for the weights, which would remain as close as possible to sample design weights and allow obtaining some exact demographic estimates. Auxiliary variables: number of persons aged 0 and older (including newborn children) by different strata; number of persons by different age groups; number of males by different age groups.

    Notes

    -

    References

  • HR - Croatia

    National Reference

    Producer

    Croatian Bureau of Statistics

    Universe

    "All private households and their current members residing in the territory of Croatia at the time of data collection. Persons living in collective households and in institutions are excluded from the target population." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 9.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 562

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    2011 Census data

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The sampling frame of segments for the first stage is divided into 8 strata. 6 strata are defined by 3 groups of countiees (NUTS-3) and the types of municipality. The type of municipality can be city or municipality. Separate 2 strata are Grad Zagreb county and city of Rijeka and city of Split together. In Croatia there are two statistical regions (NUTS-2). (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    38.7 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The design weight of responded households is modified by a factor inversely proportional to the weighted response rate within a group of counties ("homogeneous group")." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 3-4.)

    Coverage Adjustment Weight: Method

    Both household and individual external information used in a single-shot calibration at household level. The new weights were calibrated on the number of private households in household size groups by regions / groups of counties, and the number of persons in gender–age groups by regions / groups of counties. External data taken from Population estimates of Republic of Croatia 2014 released by the CBS. (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 4.)

    Notes

    -

    References

  • RO - Romania

    National Reference

    Corresponding National Study

    Romanian Survey on Income and Living Conditions ("Quality of Life Survey")

    Producer

    National Institute of Statistics of Romania

    Universe

    "The reference population is all private households and their current members residing in the territory of the Romania at the time of data collection. Persons living in collective households and in institutions are
    excluded from the target population." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 16.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7 415

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Multifunctional Sample of Territorial Areas (EMZOT)

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    "Stratification concerns only the first stage sampling. There are 88 strata, the criteria used being the area where a certain PSU is located (urban or rural area) and county (NUTS 3 level)." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2015

    End Date

    05-2015

    Type Of Data Source

    Survey

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The non-response are not globally adjusted, at the entire sample level, but separately-at wave level, on groups of households, groups generated by the variables considered as explicative of the non response. For wave 1 as explicative variables for non-response region (NUTS II level) and area of residence (urban / rural) ar eused and for the second, third and fourth wave - the region." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 9.)

    Coverage Adjustment Weight: Method

    The calibration is performed at the household level using the household variables and individual variables in their aggregate form as calibration variables. Adjustments were made using the SAS macro CALMAR. Calibration variables were: distribution of the population by age group, area of residence and gender using Romanian Population Estimates at the end of the income reference period and households totals by region. (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 9.)

    Notes

    -

    References

  • NO - Norway

    National Reference

    Producer

    Statistics Norway

    Universe

    Persons aged 16 years or more at December 31 N-1 who are living outside an institution.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 393

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Central population register (BEREG)

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Stratification Criteria

    "The new rotational groups are drawn as the proportion p of the population 16 years and over. In addition, each existing rotational group is then supplemented with new 16 year olds and new immigrants to ensure representativity. The sample is drawn from the population register, and this register is arranged to ensure geographical representativity. This is done by municipality and postal codes. The register is arranged by family number and personal code within the family before the actual selection of units." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Interview Mode

    • 0.1 % CAPI
    • 99.9 % CATI

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "Weights are calculated by stratifying the gross sample according to information in registers on sex, age, education and family size." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, Annex 4, p. 1.)

    Coverage Adjustment Weight: Method

    No adjustments are made, except for children's weights.

    Notes

    -

    References

  • HU - Hungary

    National Reference

    Producer

    Hungarian Central Statistical Office

    Universe

    Private households living in the territory of Hungary

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7 770

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    List of occupied dwelling units in census 2011 dataset

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Localities

    Secondary Sampling Units

    Households

    Stratification Criteria

    "At stage 1 the population of localities is stratified. Each of the larger localities is a stratum of its own. These are the self-representing localities, the number of which is 91. Smaller localities are stratified by NUTS3 regions and the size of locality. At stage 2 the households are stratified by the charachteristic of the head of household within each locality." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2015

    End Date

    05-2015

    Type Of Data Source

    Survey

    Interview Mode

    • 98.5 % CAPI
    • 1.5 % Websurvey

    Percentage Of Proxy Interviews

    9.5 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "In the new rotational group non-response weights were introduced to reduce bias caused by unit non-response on household level. Non-response adjustment was a simple expansion applied by the same classes as design factors were calculated by." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 4.)

    Coverage Adjustment Weight: Method

    The aim of this adjustment was to improve the accuracy of data using socio-economical information available from the constantly updated Census 2011 and other surveys. Iterative raking scale methods were applied. For the integrative calibration population totals are used. Calibration was carried out with a self made SAS program. Calibration was carried out in each rotational group. (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 4.)

    Notes

    -

    References

  • BG - Bulgaria

    National Reference

    Producer

    National Statistical Institute

    Universe

    "The data base includes all private households and their current members residing in the country. Persons living in collective households and in institutions are excluded from the target population." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 2.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 965

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Households

    Stratification Criteria

    "The sample is stratified by administrative-territorial districts in the country (NUTS3) and the household's location. As a result 56 strata are formed." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2015

    End Date

    05-2015

    Type Of Data Source

    Survey

    Interview Mode

    • 7.8 % CAPI
    • 92.2 % PAPI

    Percentage Of Proxy Interviews

    22 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "Correction for non-response at the first year of subsamples R1 was done with Weighting within classes procedures: The design weights were modified by a factor inversely proportional to the response rate within strata. Coefficients of these corrections were computed separately according to classes of locality as ratios: the sum of design weights of selected units to the sum of design weights of responding units. The response probability for the households at wave 1, 2, 3 is obtained by a logistic regression model. The model is applied for each rotational group separately. The following variables were used in the model: NUTS2, size of household, sex, age group, activity, educational level, income, tenure status, poverty indicators." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 4.)

    Coverage Adjustment Weight: Method

    "The final weights were obtained applying the integrated calibration method. Combining the four independent subsamples, calibration is done on individual-level data, imposing equality of g-weights for individuals in the same household. Truncated linear function are used in order to limit g-weights close enough to 1. External information about the distribution of the population by administrative-territorial districts (NUTS 3) and residence and about the distribution of the population by age groups, sex and residence was used. This information was derived from the Information System Demography (ISD). Calibration was carried out with a SAS Macro CALMAR 2 (designed by INSEE)." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 4-5.)

    Notes

    -

    References

  • FR - France

    National Reference

    Producer

    INSEE - National Institute for Statistics and Economic Studies

    Universe

    All private households and their current members residing in the territory of France at the time of data collection.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 11 384

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Statistiques sur les Ressources et Conditions de Vie (SRCV)

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    9

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    25.1 %

    Weighting

    Notes

    -

    References

  • BE - Belgium

    National Reference

    Producer

    Statistics Belgium

    Universe

    The reference population is all citizens living officially living at Belgian territory (population de jure).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 006

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central Population Register

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Households

    Stratification Criteria

    "The main stratification criterion is the NUTS2 level. The 11 sampling strata are the 10 Belgian provinces (5 in Flanders – coded BE21- E25 – and 5 in Wallonia – coded BE31 to BE35) and the Brussels Capital Region (BE10).Further implicit stratification is obtained by sorting PSUs (sub-municipalities) on mean income and sorting SSUs (households) in selected PSUs on age of reference person." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BE, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    9.3 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    A logistic regression model was used to correct for non-response. The file was split by NUTS1 and the variables household size and region were used.

    Notes

    -

    References

  • DK - Denmark

    National Reference

    Producer

    Statistics Denmark

    Universe

    People residing in private households residing in Denmark at the time of the interview.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 025

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central Population Register (CPR)

    Sampling Design

    • Probability
    • multi-stage

    Primary Sampling Units

    Addresses

    Secondary Sampling Units

    Individuals

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 28.8 % CATI
    • 3.5 % Self-administered
    • 67.7 % Websurvey

    Percentage Of Proxy Interviews

    6.6 %

    Weighting

    Design Weight: Target

    Household

    Non-response Weight: Method

    Calibration using external data

    Coverage Adjustment Weight: Method

    "All external data are based on variables in administrative registers. Exactly the same variables are found in the sampled households. The following external variables have been used: Equivalised disposable income, size of the household, education level of the person with the highest professional status in the household and socio-economic status of main income holder in the household.
    In addition to correcting for bias due to non-response on the household level, the SILC cross-sectional weights should reproduce certain demographic and poverty distributions on the personal level. Therefore some data on the personal level have been integrated in the calibration, that risk of poverty, age, sex, poverty, family type, education, income mass and income groups." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DK, p. 3.)

    Notes

    -

    References

  • FI - Finland

    National Reference

    Producer

    Statistics Finland

    Universe

    "Members of the private households permanently resident (the census definition) in Finland on 31 December 2014. For migrants in particular, permanent residency means that the persons have resided or intend to reside for at least 12 months and they have not a permanent recidence abroad. Persons living in institutions, in collective households or in residential homes have been excluded." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, p. 15.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 10 726

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    The Population Information System maintained by the Population Register Centre of Finland

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    "Strata contain socio-economic groups grouped by income class (12 strata in the new sample). The register information used for strata construction is about all members of the selected sample person's household-dwelling unit available at the time of sample selection (updated by the final population register data later). Strata are created only for those who do not belong to the over-coverage." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2015

    End Date

    04-2015

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 2.2 % CAPI
    • 97.8 % CATI

    Percentage Of Proxy Interviews

    10.2 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    The household design weights were multiplied by a simple adjustment n(sample)/n(respondents) in every stratum.

    Coverage Adjustment Weight: Method

    "The calibration can be interpreted as integrative, i.e. both the household and person levels were included in the process. The levels and variables included in the calibration were as follows: 1) Households: Region, type of municipality by degree of urbanisation (national classification), household size, total sums of 15 different income variables. 2) Persons: Sex and age classes. Calibrations were performed by the logit method with the SAS supporting CALMAR macro." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, Annex 7, p. 2.)

    Notes

    -

    References

  • IE - Ireland

    National Reference

    Producer

    Central Statistics Office (CSO)

    Universe

    Persons aged 16 years and over living in private households

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 452

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    28.8 %

    Weighting

    Notes

    No national quality report available.

    References

  • AT - Austria

    National Reference

    Producer

    Statistics Austria

    Universe

    "All private households and their current members residing in the territory of Austria at the time of data collection. Persons living in collective households and in institutions are generally excluded from the target population." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, p. 6.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 045

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central registration register ZMR (Zentrales Melderegister), a constantly updated population register based on the register of residence.

    Sampling Design

    • Probability
    • stratified
    • one stage

    Primary Sampling Units

    Dwellings

    Stratification Criteria

    The sample of the first wave was stratified according to 205 interviewer units (Sprengel). These are regional divisions of federal territory which may be approximately combined to Austrian provinces (NUTS 2 units). (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2015

    End Date

    09-2015

    Type Of Data Source

    Survey

    Interview Mode

    • 60.5 % CAPI
    • 39.5 % CATI

    Percentage Of Proxy Interviews

    11.4 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    For the estimation of weights a logistic regression model was set up to estimate the response probabilitiesof each household with explanatory variables known prior to survey data based on the questionnaire. Among these are data from the sampling frame, register data linked to the gross sample or data surveyed by the interviewers before contact (e.g. type of building). (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, Annex 6, p. 1.)

    Coverage Adjustment Weight: Method

    "As a reference data base the average of the quarters 1 to 3 of 2015 of the Microcensus was chosen. The usage of register information on income in the survey of 2015 also lead to changes in the weighting procedure. Additionally data from the main association of Austrian Social Security Institutions (Hauptverband der österreichischen Sozialversicherungsträger) were used to provide an accurate number of people who were receiving unemployment benefits (People who received benefits for more than one month during the income reference period were counted).
    The adjustments were carried out on household level and on individual level and were done with reference to the following variables:
    Household level: the household size (four categories: 1, 2, 3 household members and households with 4 and more household members), tenure status (two categories: rented flat/house or owned), and region (nine categories: Nuts II level).
    Individual level: Sex, age
    In addition to these variables adjustments were implemented to achieve coherence in
    - the number of foreign citizens (aged 16 and over)
    - the number of recipients of unemployment benefits for a duration of more than one month based on data from the main association of Austrian Social Security Institutions
    - the number of recipients of income from employment based on wage tax statistics (aged 15 and over)
    - the number of recipients of income from pensions based on wage tax statistics" (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, Annex 6, p. 4-5.)

    Notes

    -

    References

  • CZ - Czech Republic

    National Reference

    Producer

    Czech Statistical Office

    Universe

    All persons with usual residence in Czech dwellings (their only place of residence or their main place of residence) were included in the survey.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7 914

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Register of Census Enumeration Districts (small geographical areas covering the whole territory of the country)

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The sampling of CEUs is stratified by region (NUTS4) and municipality size.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2015

    End Date

    05-2015

    Type Of Data Source

    Survey

    Interview Mode

    • 52.5 % CAPI
    • 47.5 % PAPI

    Percentage Of Proxy Interviews

    27.3 %

    Weighting

    Design Weight: Method

    none

    Non-response Weight: Method

    "United calibration for all the waves was used as the method for correcting non-response. The achieved sample was re-weighted using the integrated calibration technique (producing the same weights on household and personal level). This technique ensures that the weighted sample structure corresponds to a set of known external population characteristics. The calculations were implemented using the CALMAR software in SAS." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ, p. 4.)

    Coverage Adjustment Weight: Method

    For the adjustments to external data "the following calibration variables were used: Number of inhabited dwellings in each NUTS3 region, subdivided into family houses (detached and semi-detached houses) and flats, based on the 2001 Census and 2011 Census continuously updated from administrative sources of construction authorities and Population characteristics (population totals in each NUTS3 region, economic activity in each NUTS3 region, demographic characteristics at the national level)." National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ, p. 4.)

    Notes

    -

    References

  • CY - Cyprus

    National Reference

    Producer

    Statistical Service of Cyprus - (CYSTAT)

    Universe

    "All the households and their members living in the areas under the effective control of the government of the Republic of Cyprus. Population in collective households and institutions is excluded." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, p. 7.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 357

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    For 2015, the list of households from the 2011 Census of Population was used as sampling frame with a supplementary list of newly constructed houses (build after 2011 up to 2014). (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, p. 2.)

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Stratification Criteria

    Geographical stratification criteria were used for the sample selection. The households were stratified in 9 strata based on District (Urban / Rural).

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2015

    End Date

    05-2015

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 84.3 % CAPI
    • 15.7 % CATI

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The empirical response rate within each stratum provides an estimate of the response probability for all the households of the stratum." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, Annex 3, p. 2.)

    Coverage Adjustment Weight: Method

    "The individual variables are aggregated at the household level by calculating household totals such as the number of male/female in the household, the number of persons aged 16+ etc. After that, calibration is done at the household level using the household variables and the individual variables in their aggregate form. At personal level the calibration variables used were the distribution of population by age and gender. Based on this calibration procedure and using the weight after non-response adjustment as the initial weight, the household and the personal cross-sectional weights were calculated." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, Annex 3, p. 2.)

    Notes

    -

    References

  • SE - Sweden

    National Reference

    Producer

    Statistics Sweden

    Universe

    The refence population is the whole Swedish population except short term migrants. People who stay in Sweden for no longer than 3-12 months are not covered.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 859

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Total Population Register (TPR)

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Stratification Criteria

    The sample is stratified by age in eight strata according to age.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2015

    End Date

    12-2015

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    The adjustment for non-response is done by straight expansion within each poststratum.

    Notes

    -

    References

  • SI - Slovenia

    National Reference

    Producer

    The Statistical office of the Republic of Slovenia

    Universe

    "The reference population is defined with the persons in the Central Register of Population which are aged 16 years or more. The individuals with Slovenian citizenship as well as foreigners were included in the sampling frame." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 20.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 8 685

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Central Register of Population (CRP)

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Individuals

    Stratification Criteria

    "The sampling frame of persons aged 16 years or more is divided into 6 strata, which are defined according to the size of the settlement and the proportion of agricultural households in the settlement." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2015

    End Date

    05-2015

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 46.8 % CAPI
    • 53.2 % CATI

    Percentage Of Proxy Interviews

    22.7 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The non-response factor was calculated for each stratum. First the sample was divided into three categories: responses, non-responses and out-of-scope units." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 9.)

    Coverage Adjustment Weight: Method

    "By the calibration procedures the weighted sums of some key variables are set to the known population values. These population values are obtained from the different administrative sources. For the calibration of weights we used SAS Macro Calmar. We performed calibration for the level of households, as well as for the level of the persons." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 9.)

    Notes

    -

    References

  • SK - Slovakia

    National Reference

    Producer

    The Statistical Office of the Slovak Republic

    Universe

    Private households

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 637

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Data set is based only on a survey

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Households

    Stratification Criteria

    "There are two criteria of area stratification in the sampling design:
    - geographical stratification (8 standard administrative regions corresponding to the European NUTS 3 level.).
    - degree of urbanization: 7 groups according to population size of municipalities and communes (number of inhabitants in municipalities and communes).
    48 final strata were created (variable DB050) by using of those two stratification criteria." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2015

    End Date

    06-2015

    Type Of Data Source

    Survey

    Interview Mode

    • 99.9 % PAPI
    • 0.1 % Self-administered

    Weighting

    Design Weight: Target

    Household

    Non-response Weight: Method

    "Dividing households into strata (region and rotational group). Then the empirical value of the response rate within the stratum gives the estimate of the probability of response for each household in the stratum." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p. 3.)

    Coverage Adjustment Weight: Method

    "Calculation of the households crosssectional weights - has been implemented by system of simple calibration of weights of the households by using of variablesnumber of households by number
    of membership in administration regions." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p. 3.)

    Final Weighting: Method

    "The sample was designed as a selfweighting sample. Design factor for all sampled dwellings is equal to 1." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p. 3.)

    Notes

    -

    References

  • IS - Iceland

    National Reference

    Producer

    Statistics Iceland

    Universe

    People in private households

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 2 939

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Iceland population register

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    0 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2015: DB020, RB250, RB260.

  • UK - Great Britain

    National Reference

    Corresponding National Study

    Family Resources Survey

    Producer

    Office for National Statistics

    Universe

    The reference population for the Family Resources Survey is all private households in the UK.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 9 312

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    for Great Britain: Royal Mail’s small-users Postcode Address File (PAF); for Nothern Irland: POINTER address database

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Postecode sectors

    Secondary Sampling Units

    Addresses

    Stratification Criteria

    The PSUs are "stratified by 27 regions on the FRS and 30 regions on the GLF. The PSUs are then sorted by three other variables (different for the two surveys), which provides an implicit stratification:
    For the FRS, within each region the postcode sectors are ordered and grouped into eight equal bands using the proportion of households where the household reference person (HRP) is in National Statistics Socio-Economic Classification (NS-SEC) 1 to 3. Within each of these eight bands, the PSUs are ordered by the proportion of economically active adults aged 16-74 and formed into two further bands, resulting in sixteen bands for each region. These are then ordered according to the proportion of economically active males aged 16-74 who are unemployed.
    For the GLF, postcode sectors were stratified according to selected indicators taken from the 2001 Census. Sectors were initially ordered according to the proportion of households with no car, then divided into three bands containing approximately the same number of households. Within each band, sectors were re-ordered according to the proportion of households with a household reference person in socio-economic groups 1 to 5 and 13, and these bands were then subdivided into three further bands of approximately equal size. Finally, within each of these bands, sectors were re-ordered according to the proportion of people who were pensioners." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 2.)

    Sampling Method

    "Prior to 2012, all households for cross-sectional and longitudinal EU-SILC originated from the GLF sample. Since 2012, cross-sectional and wave 1 respondents have been selected from the FRS. The FRS in Great Britain is a stratified clustered probability sample design, as was the first wave of the GLF. The FRS in Northern Ireland is a systematic stratified sample design, while for the GLF it was a simple random sample." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 2.)

    Panel Design

    Data Collection

    Start Date

    03-2015

    End Date

    11-2015

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "There is no correction for individual non-response, because only fully cooperating households are included in the dataset. Household non-response is corrected for in the grossing procedure, which sets grossing factors so that the population estimate is representative of the population in several dimensions." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 5.)

    Coverage Adjustment Weight: Method

    "The grossing regime for Great Britain aims to calibrate population estimates derived from EU SILC data against seven different variables: Individuals (Age, sex and region), Dependants aged 16-19, Benefit units, Benefit units (Lone Parents), Households (Tenure type), Households (Council Tax Band), Households (Region).
    The grossing regime for Northern Ireland is slightly different from that for the rest of the UK: Local taxes in Northern Ireland are collected through the rates system, so Council Tax Band as a control variable is not applicable. Northern Ireland housing data are based largely on small sample surveys. It is not desirabe to introduce the variance of one survey into another by using it to compute control totals; therefore tenure type has not been used as a control variable." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 5.)

    Notes

    -

    References

  • IT - Italy

    National Reference

    Producer

    Italian National Institute of Statistics

    Universe

    All persons living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 17 985

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Registers of the municipalities

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Households

    Stratification Criteria

    "Stratification of primary sampling units by the number of inhabitants so that the total number of inhabitants in each stratum is approximately constant (this guarantees selfweighting design in each region). Municipalities which sizes are higher than a threshold are self-representing units i.e. are strata themselves and included with certainty in the sample of PSU. Secondary sampling units are not stratified." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), IT, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    10-2015

    End Date

    12-2015

    Type Of Data Source

    Survey

    Interview Mode

    • 72.2 % CAPI
    • 27.8 % CATI

    Percentage Of Proxy Interviews

    33.1 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The design weights were adjusted by a correction factor for total non-response worked out as the reciprocal of the response probability identified by the information given on the extracted sample (for the households at wave 1) or gathered from the most recent year of survey (for the households at wave 2, 3, 4)." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), IT, p. 4.)

    Coverage Adjustment Weight: Method

    "After the non-response adjustments, a further adjustment of design weights has been achieved with a first calibration stage to constrain the sample to the same structure of the Labour Force Survey with regard to the educational and professional condition by sex." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), IT, p. 5.)

    Notes

    -

    References

  • MT - Malta

    National Reference

    Producer

    Central Statistical Bureau of Latvia

    Universe

    Persons living in private households within national territory

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 233

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    "The stratification was made depending on the type of municipality (Riga, cities, towns, rural areas). The Classification of Administrative Territories and Territorial Units (CATTU) of Latvia was used for stratification." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, p. 5.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2015

    End Date

    07-2015

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 65.1 % CAPI
    • 32.3 % CATI
    • 2.6 % PAPI

    Percentage Of Proxy Interviews

    21.4 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "Base weights were corrected by non-response in the primary sampling units. The 2012, 2013 and 2014 data were adjusted for returnees. New household members with RB110 = 3 (moved into from outside sample) and former household members with RB110 = 5, 6 or 7 (moved out, died, not registered in the previous wave and did not live in household anymore) had RB060 = 0. The newly born (household members with RB110 = 4) received the weight of their mother. For each year, each rotational group with adjusted design weights was calibrated on the corresponding year’s population." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, Annex 7, p. 1.)

    Coverage Adjustment Weight: Method

    "For each year, each rotational group with adjusted design weights was calibrated on the corresponding year’s population. Weights were calibrated (in the household level) on the basis of demographic data by breaking them down by the type of municipality (Riga, cities, towns, rural areas), 16 age groups, sex and 6 regions of Latvia (NUTS 3). GREG calibration was used." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, Annex 7, p. 2.)

    Notes

    -

    References

  • PT - Portugal

    National Reference

    Corresponding National Study

    ICOR (Income and living Conditions)

    Producer

    Statistics Portugal

    Universe

    All private households and their current members living in Portugal (Mainland, Açores and Madeira).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 8 740

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    34.3 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2015: DB020, RB250, RB260.

  • PL - Poland

    National Reference

    Producer

    Central Statistical Office of Poland

    Universe

    "The survey unit was a household and all the household members who have reached the age of 16 years by December 31, 2014.
    The survey did not cover collective accomodation households." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 12.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 12 183

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    TERYT system

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwelling blocks

    Stratification Criteria

    "The strata were the voivodships (NUTS2) and within the voivodships primary sampling units were classified by class of locality. In urban areas census areas were grouped by size of town. Big cities formed independent strata, but in the five largest cities districts were treated as strata. In rural areas strata were represented by rural gminas (NUTS5) of a subregion (NUTS3) or of a few neighbouring powiats (NUTS4). Altogether, 250 strata were distinguished." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2015

    End Date

    07-2015

    Type Of Data Source

    Survey

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    Weights were adjusted with the use of household non-response rates estimated for each class of locality separately.

    Coverage Adjustment Weight: Method

    "With the use of the integrated calibration method weights were calculated for individuals and for households simultaneously. The following information about households was used: 4 size categories [...] and number of persons by age and gender. The data at the level of NUTS2, additionally classified by urban/rural areas, were derived from the 2011 Census and current demographic estimates." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 4.)

    Notes

    -

    References

  • RS - Serbia

    National Reference

    Producer

    Central Statistics Office (CSO)

    Universe

    Persons aged 16 years and over living in private households

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 680

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    19.1 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC 2013 Data: RB250, RB260
    CIMES

  • ES - Spain

    National Reference

    Producer

    National Statistics Institute (INE-Spain)

    Universe

    "The target population was members of private households residing at main family addresses, and the households themselves." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), ES, p. 7.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 12 367

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Municipal Register

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Addresses

    Stratification Criteria

    "In each Autonomous Community [self-ruling region], first-stage units were stratified by the size of the municipality to which the census section belonged." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), ES, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2015

    End Date

    07-2015

    Type Of Data Source

    Survey

    Interview Mode

    • 80.1 % CAPI
    • 19.9 % CATI

    Percentage Of Proxy Interviews

    28.1 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    Adjustment for non-response is carried out by multiplying a certain factor to provide an estimate of the inverse probability of response in the stratum.

    Coverage Adjustment Weight: Method

    The factor is weighted to adjust estimated distribution to the population distribution by Autonomous Community, age group and gender provided by the Demographic Projections Unit.

    Notes

    -

    References

  • NL - Netherlands

    National Reference

    Producer

    Statistics Netherlands

    Universe

    "The reference population of EU-SILC is all private households and their current members residing in the Netherlands at the time of data collection. The West Frisian Islands with the exception of Texel were excluded from the target population. This is also true for persons living in collective households and in institutions." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, p. 6.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 9 806

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Dutch municipality administration (Gemeentelijke Basisadministratie or GBA)

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Addresses

    Stratification Criteria

    "The stratification variables used in this design are the 40 COROP-regions (NUTS3). These are regional areas within the Netherlands and are used for analytical purposes by, among others, Statistics Netherlands." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    06-2015

    End Date

    10-2015

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    1.6 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The method of logistic regression was adopted to approximate the response probabilities for the new rotational group. These response probabilities were modelled by the explanatory variables age, degree of urbanisation, type of household, and labour status." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, Annex 4, p. 1.)

    Coverage Adjustment Weight: Method

    "The non-response adjustments and the adjustments to external data are combined into a single procedure. The following variables were included in the calibration scheme: Household size, Sex, Age class." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, Annex 4, p. 9.)

    Notes

    -

    References

  • EE - Estonia

    National Reference

    Producer

    Statistics Estonia

    Universe

    "Households whose usual place of residence is in Estonia, and the members of these households, excluding persons living in institutions." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, p. 2.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 728

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Sampling frame for selection of new part of the sample is Statistical Population Register of Estonia.

    Sampling Design

    • Probability
    • systematic
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Geographical stratification was used. The counties (and capital Tallinn) were grouped into three strata by the population size.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2015

    End Date

    06-2015

    Type Of Data Source

    Survey

    Interview Mode

    • 94.2 % CAPI
    • 5.8 % CATI

    Percentage Of Proxy Interviews

    27.9 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "Correction for non-response […] was done with logistic regression model predicting the response probability of the household. Auxiliary variables were: age of address-person, county group and urbanization status (rural/urban), household size." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, Annex 2, p. 5.)

    Coverage Adjustment Weight: Method

    "Non-response corrected weights were calibrated to reproduce known population totals.
    Calibration totals originated from demographic statistics published by Statistics Estonia with institutionalized persons deducted. Calibration was made on the following auxiliaries: County, Sex x age group; urbanization status (rural/urban)." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, Annex 2, p. 2.)

    Notes

    -

    References

  • EL - Greece

    National Reference

    Producer

    Hellenic Statistical Authority

    Universe

    The reference population is all citizens officially living at Greek territory (population de facto).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 14 096

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    • Probability

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 2.6 % CATI
    • 97.1 % PAPI
    • 0.3 % Self-administered

    Percentage Of Proxy Interviews

    2.9 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2015: DB020, RB250, RB260.